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Pathobiology of Neutrophil Transepithelial Migration: Implications in Mediating Epithelial Injury

2006· review· en· W1990282533 on OpenAlexfundno aff
Alex C. Chin, Charles A. Parkos

Bibliographic record

VenueAnnual Review of Pathology Mechanisms of Disease · 2006
Typereview
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteNational Institute for Health and Care ResearchHealth ResearchCanadian Association of GastroenterologyNational Institutes of Health
KeywordsInfiltration (HVAC)InflammationEpitheliumImmunologyNeutrophil extracellular trapsCell biologyBiologyPathologyMedicine

Abstract

fetched live from OpenAlex

Neutrophil (also known as polymorphonuclear leukocyte, or PMN) transepithelial migration and accumulation at mucosal surfaces is a hallmark of many inflammatory conditions. This process correlates directly with clinical disease activity and epithelial injury. Currently, the mechanisms that define PMN epithelial interactions during an inflammatory response are not completely understood. This review provides an overview of the consequences of PMN infiltration into epithelial tissues and highlights molecular details of PMN epithelial interactions during transmigration. A better understanding of this process will likely provide new insights into developing organ-specific treatment strategies to reduce the deleterious consequences of epithelial inflammation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.368
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations115
Published2006
Admission routes1
Has abstractyes

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